/r/MLQuestions
Trying to solve a reinforcement learning problem with putting a XCS into the latent space of an Autoencoder in a VIZDOOM environment, but it doesn't seem to learn at all.
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What makes Phi Silica "NPU-tuned"? Is it just that it runs on a neural processing unit (NPU), or something else?
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ValueError: called `set_weights(weights)` on layer 'conv2d_7' with a weight list of length 2, but the layer was expecting 1 weights
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